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Value Negotiation
Value Negotiation: How to Finally Get the Win-Win Right examines the complicated world of negotiation and provides a simple and practical approach in helping negotiators learn how to consistently deliver the highest possible value at the lowest possible risk in the widest range of situations. The textbook consists of three parts: in Become a Negotiator, challenge yourself to rethink your foundations and assumptions about negotiation, in Prepare for Negotiation, find out how to choose a negotiation goal and strategy, and anticipate critical moments during negotiation and in Negotiate!, uncover how you can connect with negotiating parties, work towards gaining mutual value, and finally, make the best possible decision. In each part, a wide variety of dialogues, scenarios, discussion questions and exercises have been specially designed to prepare you for commonly experienced situations and settings in negotiation. For university professors, adopting the Value Negotiation book entitles you to request a comprehensive Instructor’s Package that includes an Instructor’s Manual and a set of teaching slides.
Guide to Foreign and International Legal Citations
"Formerly known as the International Citation Manual"--p. xv.
TinyML
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Data Preprocessing in Data Mining
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducin...
Digital Contact Tracing for Pandemic Response
As nations race to hone contact-tracing efforts, the world's experts consider strategies for maximum transparency and impact. As public health professionals around the world work tirelessly to respond to the COVID-19 pandemic, it is clear that traditional methods of contact tracing need to be augmented in order to help address a public health crisis of unprecedented scope. Innovators worldwide are racing to develop and implement novel public-facing technology solutions, including digital contact tracing technology. These technological products may aid public health surveillance and containment strategies for this pandemic and become part of the larger toolbox for future infectious outbreak p...
Simpson's Forensic Medicine
This fully updated thirteenth edition of Simpson's Forensic Medicine remains a classic introductory text to the field. Continuing its tradition of preparing the next generation of forensic practitioners, it presents essential concepts in the interface between medicine and the law. Twenty-four chapters cover basic science, toxicology, forensic odont
Essential First Steps to Data Analysis
The purpose of this book is to provide instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Preparation may involve data management and manipulation tasks, data organization, structural changes to data files, or conducting preliminary analysis such as examining the scale of a variable, the validity of assumptions or the nature and extent of missing data. The oresultso from these essential first steps can also help guide a researcher in selecting the most appropriate statistical tests for his/her study. The book is intended to serve as a supplemental text in statistics or research courses offered in graduate programs in education, couns...
The Unicorn's Shadow
Bringing hard data to the way we think about entrepreneurial success, this bold call to action draws on the latest scientific evidence to dispel the most pervasive startup myths and light a path to entrepreneurship for those eclipsed by the hype. When you think of a successful entrepreneur, who comes to mind? Bill Gates? Mark Zuckerberg? Or maybe even Jesse Eisenberg, the man who played Zuckerberg in The Social Network? It may surprise you that most successful founders look very different from Zuckerberg or Gates. In fact, most startup origin stories are very different from the famous "unicorns" that have achieved valuations of over $1 billion, from Facebook to Google to Uber. In The Unicorn...
